Abstract:
Image edge detection in computer vision and image processing
is a process which detects one kind of significant
feature in an image that appears as large delta values in intensities.
In this paper, a parallel algorithmic skeleton for
edge detection is proposed based on the Spiral Architecture
and the Gaussian multi-scale theory. UNIX-based network
programming mechanisms in C are used for the implementation
on a cluster of Sun-workstations. Our work provides
an efficient algorithm for edge detection and is robust to
noise.
